doc-coauthoring

More from salmanferozkhan/cloud-and-fast-api

• chainlit

  Expert guidance for building conversational AI applications with Chainlit framework in Python. Use when (1) creating chat interfaces for LLM applications, (2) building apps with OpenAI, LangChain, LlamaIndex, or Mistral AI, (3) implementing streaming responses, (4) adding UI elements like images, files, charts, (5) handling user file uploads, (6) implementing authentication (OAuth, password), (7) creating multi-step workflows with visible steps, (8) building RAG applications with document upload, or (9) deploying chat apps to web, Slack, Discord, or Teams.

  87

• fastapi

  Expert guidance for building REST APIs with FastAPI framework in Python. Use when (1) creating new FastAPI projects from scratch, (2) implementing API endpoints with routing, (3) working with Pydantic models for validation, (4) setting up dependency injection, (5) implementing authentication (OAuth2, JWT, API keys), (6) integrating databases (SQLAlchemy sync/async), (7) writing tests for FastAPI apps, (8) deploying FastAPI to production (Docker, Gunicorn), or (9) implementing advanced features like WebSockets, middleware, background tasks.

  5

• docx

  Comprehensive document creation, editing, and analysis with support for tracked changes, comments, formatting preservation, and text extraction. When Claude needs to work with professional documents (.docx files) for: (1) Creating new documents, (2) Modifying or editing content, (3) Working with tracked changes, (4) Adding comments, or any other document tasks

  3

• ship-hero

  Expert guidance for integrating with ShipHero's GraphQL API for fulfillment, inventory, orders, and returns management. Use when (1) authenticating with ShipHero API, (2) managing orders (create, update, cancel, query), (3) managing products and inventory levels, (4) creating and tracking shipments, (5) processing returns, (6) working with purchase orders, (7) setting up webhooks for real-time events, (8) implementing 3PL multi-tenant operations, or (9) optimizing GraphQL query costs and pagination.

  3

• linkedin-post-creator

  |

  3

• pytest

  Expert guidance for Python testing with pytest framework. Use when (1) writing unit tests or integration tests, (2) setting up test fixtures for setup/teardown, (3) parametrizing tests with multiple inputs, (4) using markers (skip, xfail, custom), (5) mocking/patching with monkeypatch or pytest-mock, (6) configuring pytest (pytest.ini, pyproject.toml, conftest.py), (7) running tests with coverage, (8) debugging test failures, or (9) testing async code, FastAPI, Django, or Flask apps.

  2